Literature DB >> 26087359

Relating Retinal Ganglion Cell Function and Retinal Nerve Fiber Layer (RNFL) Retardance to Progressive Loss of RNFL Thickness and Optic Nerve Axons in Experimental Glaucoma.

Brad Fortune, Grant Cull, Juan Reynaud, Lin Wang, Claude F Burgoyne.   

Abstract

PURPOSE: To relate changes in retinal function and retinal nerve fiber layer (RNFL) retardance to loss of RNFL thickness and optic nerve axon counts in a nonhuman primate (NHP) model of experimental glaucoma (EG).
METHODS: Bilateral longitudinal measurements of peripapillary RNFL thickness (spectral-domain optical coherence tomography, SDOCT; Spectralis), retardance (GDxVCC), and multifocal electroretinography (mfERG; VERIS) were performed in 39 NHP at baseline (BL; median, 5 recordings; range, 3-10) and weekly after induction of unilateral EG by laser photocoagulation of the trabecular meshwork. Multifocal ERG responses were high-pass filtered (>75 Hz) to measure high- and low-frequency component (HFC and LFC) amplitudes, including LFC features N1, P1, and N2. High-frequency component amplitudes are known to specifically reflect retinal ganglion cell (RGC) function. Complete (100%) axon counts of orbital optic nerves were obtained in 31/39 NHP.
RESULTS: Postlaser follow-up was 10.4 ± 7.9 months; mean and peak IOP were 18 ± 5 and 41 ± 11 mm Hg in EG eyes, 11 ± 2 and 18 ± 6 mm Hg in control (CTL) eyes. At the final available time point, RNFL thickness had decreased from BL by 14 ± 14%, retardance by 20 ± 11%, and the mfERG HFC by 30 ± 17% (P < 0.0001 each). Longitudinal changes in retardance and HFC were linearly related to RNFL thickness change (R2 = 0.51, P < 0.0001 and R2 = 0.22, P = 0.002, respectively); LFC N2 was weakly related but N1 or P2 (N1: R2 = 0.07, P = 0.11; P1: R2 = 0.04, P = 0.24; N2: R2 = 0.13, P = 0.02). At zero change from BL for RNFL thickness (Y-intercept), retardance was reduced by 11% (95% confidence interval [CI]: -15.3% to -6.8%) and HFC by 21.5% (95% CI: -28.7% to -14.3%). Relative loss of RNFL thickness, retardance, and HFC (EG:CTL) were each related to axon loss (R2 = 0.66, P < 0.0001; R2 = 0.42, P < 0.0001; R2 = 0.42, P < 0.0001, respectively), but only retardance and HFC were significantly reduced at zero relative axon loss (Y-intercept; retardance: -9.4%, 95% CI: -15.5% to -3.4%; HFC: -10.9%, 95% CI: -18.6% to -3.2%; RNFL thickness: +1.8%, 95% CI: -4.9% to +5.4%).
CONCLUSIONS: Retinal nerve fiber layer retardance and RGC function exhibit progressive loss from baseline before any loss of RNFL thickness or orbital optic nerve axons occurs in NHP EG. These in vivo measures might serve as potential biomarkers of early-stage glaucomatous damage preceding axon loss and RGC death.

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Year:  2015        PMID: 26087359      PMCID: PMC4476737          DOI: 10.1167/iovs.15-16548

Source DB:  PubMed          Journal:  Invest Ophthalmol Vis Sci        ISSN: 0146-0404            Impact factor:   4.799


  56 in total

1.  In vivo imaging and quantitative evaluation of the rat retinal nerve fiber layer using scanning laser ophthalmoscopy.

Authors:  Ichiro Kawaguchi; Tomomi Higashide; Shinji Ohkubo; Hisashi Takeda; Kazuhisa Sugiyama
Journal:  Invest Ophthalmol Vis Sci       Date:  2006-07       Impact factor: 4.799

2.  Optical coherence tomography and histologic measurements of nerve fiber layer thickness in normal and glaucomatous monkey eyes.

Authors:  Joel S Schuman; Tamar Pedut-Kloizman; Helena Pakter; Nan Wang; Viviane Guedes; Lina Huang; Liselotte Pieroth; Wayne Scott; Michael R Hee; James G Fujimoto; Hiroshi Ishikawa; Richard A Bilonick; Larry Kagemann; Gadi Wollstein
Journal:  Invest Ophthalmol Vis Sci       Date:  2007-08       Impact factor: 4.799

3.  Effect of axonal micro-tubules on the morphology of retinal nerve fibers studied by second-harmonic generation.

Authors:  Hyungsik Lim; John Danias
Journal:  J Biomed Opt       Date:  2012-11       Impact factor: 3.170

4.  Laser energy levels for trabecular meshwork damage in the primate eye.

Authors:  H A Quigley; R M Hohman
Journal:  Invest Ophthalmol Vis Sci       Date:  1983-09       Impact factor: 4.799

5.  Automated quantification of optic nerve axons in primate glaucomatous and normal eyes--method and comparison to semi-automated manual quantification.

Authors:  Juan Reynaud; Grant Cull; Lin Wang; Brad Fortune; Stuart Gardiner; Claude F Burgoyne; George A Cioffi
Journal:  Invest Ophthalmol Vis Sci       Date:  2012-05-01       Impact factor: 4.799

6.  Quantitative studies of retinal nerve fiber layer defects.

Authors:  H A Quigley; E M Addicks
Journal:  Arch Ophthalmol       Date:  1982-05

7.  Clinically detectable nerve fiber atrophy precedes the onset of glaucomatous field loss.

Authors:  A Sommer; J Katz; H A Quigley; N R Miller; A L Robin; R C Richter; K A Witt
Journal:  Arch Ophthalmol       Date:  1991-01

8.  Relationship between orbital optic nerve axon counts and retinal nerve fiber layer thickness measured by spectral domain optical coherence tomography.

Authors:  Grant A Cull; Juan Reynaud; Lin Wang; George A Cioffi; Claude F Burgoyne; Brad Fortune
Journal:  Invest Ophthalmol Vis Sci       Date:  2012-11-21       Impact factor: 4.799

9.  The photopic negative response of the mouse electroretinogram: reduction by acute elevation of intraocular pressure.

Authors:  Vicki Chrysostomou; Jonathan G Crowston
Journal:  Invest Ophthalmol Vis Sci       Date:  2013-07-12       Impact factor: 4.799

Review 10.  Imaging of the retinal nerve fibre layer for glaucoma.

Authors:  K A Townsend; G Wollstein; J S Schuman
Journal:  Br J Ophthalmol       Date:  2008-11-21       Impact factor: 4.638

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  26 in total

Review 1.  In vivo imaging methods to assess glaucomatous optic neuropathy.

Authors:  Brad Fortune
Journal:  Exp Eye Res       Date:  2015-06-03       Impact factor: 3.467

2.  The non-human primate experimental glaucoma model.

Authors:  Claude F Burgoyne
Journal:  Exp Eye Res       Date:  2015-06-09       Impact factor: 3.467

Review 3.  Parameters of ocular fundus on spectral-domain optical coherence tomography for glaucoma diagnosis.

Authors:  Yu-Lin Tao; Li-Ming Tao; Zheng-Xuan Jiang; He-Ting Liu; Kun Liang; Mo-Han Li; Xuan-Sheng Zhu; Yan-Lin Ren; Bing-Jie Cui
Journal:  Int J Ophthalmol       Date:  2017-06-18       Impact factor: 1.779

Review 4.  Electroretinography in glaucoma diagnosis.

Authors:  Laura J Wilsey; Brad Fortune
Journal:  Curr Opin Ophthalmol       Date:  2016-03       Impact factor: 3.761

5.  Comparing three different modes of electroretinography in experimental glaucoma: diagnostic performance and correlation to structure.

Authors:  Laura Wilsey; Sowjanya Gowrisankaran; Grant Cull; Christy Hardin; Claude F Burgoyne; Brad Fortune
Journal:  Doc Ophthalmol       Date:  2017-02-27       Impact factor: 2.379

Review 6.  The connective tissue phenotype of glaucomatous cupping in the monkey eye - Clinical and research implications.

Authors:  Hongli Yang; Juan Reynaud; Howard Lockwood; Galen Williams; Christy Hardin; Luke Reyes; Cheri Stowell; Stuart K Gardiner; Claude F Burgoyne
Journal:  Prog Retin Eye Res       Date:  2017-03-12       Impact factor: 21.198

7.  Lamina cribrosa vessel and collagen beam networks are distinct.

Authors:  Susannah Waxman; Bryn L Brazile; Bin Yang; Po-Yi Lee; Yi Hua; Alexandra L Gogola; Po Lam; Andrew P Voorhees; Joseph F Rizzo; Tatjana C Jakobs; Ian A Sigal
Journal:  Exp Eye Res       Date:  2021-12-29       Impact factor: 3.467

8.  Purinergic dysregulation causes hypertensive glaucoma-like optic neuropathy.

Authors:  Youichi Shinozaki; Kenji Kashiwagi; Kazuhiko Namekata; Akiko Takeda; Nobuhiko Ohno; Bernard Robaye; Takayuki Harada; Takeshi Iwata; Schuichi Koizumi
Journal:  JCI Insight       Date:  2017-10-05

9.  In Vivo Imaging of the Retina, Choroid, and Optic Nerve Head in Guinea Pigs.

Authors:  Ashutosh Jnawali; Krista M Beach; Lisa A Ostrin
Journal:  Curr Eye Res       Date:  2018-04-23       Impact factor: 2.424

10.  A Simple Subjective Evaluation of Enface OCT Reflectance Images Distinguishes Glaucoma From Healthy Eyes.

Authors:  Riccardo Cheloni; Simon D Dewsbery; Jonathan Denniss
Journal:  Transl Vis Sci Technol       Date:  2021-05-03       Impact factor: 3.283

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